Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2133254
Dipti Mitra, A. Saha
Abstract Air pollution is one of the most concerning and alarming problems in the modern world, and it is increasing day by day due to a large number of industries and urbanization. When pollutants are released into the air from several sources, such as the combustion of fossil fuels, industrial emissions, agricultural sources, and so on, it is referred to as air pollution. It is acknowledged as a significant risk factor for noncommunicable diseases (NCDs) that include lung cancer, stroke, heart disease, and acute and chronic respiratory illnesses including asthma. An estimated seven million individuals die globally every year due to air pollution as the world health organization reported on their website. In this paper, we have proposed an Internet of Things (IoT) based air pollution detection, monitoring, and controlling system. The system detects the various air pollutants by combining the different sensors, helps users to monitor the received pollutants levels over LCD, user’s mobile app, and cloud server, and controls the air quality up to a certain level when pollutants levels cross the threshold limits. NodeMCU plays an important role to exchange the data or information between the proposed system devices. We have designed a prototype for demonstrating the proposed system performance. The prototype testing and result show’s that the proposed system works significantly well in terms of detection, monitoring, and controlling air pollution, especially proposed controllers exhibit impressive performance for maintaining the air quality.
{"title":"IoT-based air pollution detection, monitoring and controlling system","authors":"Dipti Mitra, A. Saha","doi":"10.1080/09720529.2022.2133254","DOIUrl":"https://doi.org/10.1080/09720529.2022.2133254","url":null,"abstract":"Abstract Air pollution is one of the most concerning and alarming problems in the modern world, and it is increasing day by day due to a large number of industries and urbanization. When pollutants are released into the air from several sources, such as the combustion of fossil fuels, industrial emissions, agricultural sources, and so on, it is referred to as air pollution. It is acknowledged as a significant risk factor for noncommunicable diseases (NCDs) that include lung cancer, stroke, heart disease, and acute and chronic respiratory illnesses including asthma. An estimated seven million individuals die globally every year due to air pollution as the world health organization reported on their website. In this paper, we have proposed an Internet of Things (IoT) based air pollution detection, monitoring, and controlling system. The system detects the various air pollutants by combining the different sensors, helps users to monitor the received pollutants levels over LCD, user’s mobile app, and cloud server, and controls the air quality up to a certain level when pollutants levels cross the threshold limits. NodeMCU plays an important role to exchange the data or information between the proposed system devices. We have designed a prototype for demonstrating the proposed system performance. The prototype testing and result show’s that the proposed system works significantly well in terms of detection, monitoring, and controlling air pollution, especially proposed controllers exhibit impressive performance for maintaining the air quality.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43328897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2139934
Shikha Chaudhary, Saroj Hiranwal, C. Gupta
Abstract This paper put forwards a secure image steganography technique for transmitting sensitive data using a Tunicate swarm optimization algorithm. A hybrid chaotic map-based image scrambling method is proposed with the combination of Tent and Tinkerbell chaotic maps. The scrambling of the secret image provides an added level of security in data hiding. The graph signal processing of cover image using the Meyer wavelet filter is performed to conceal the secret data within the transformed cover image using the alpha blending operation. To discover the optimal value of alpha for alpha blending, the tunicate swarm optimization algorithm is employed. To take the hidden information out at receiver end, the reverse approach is applied. The experimental results revealed that the embedding technique using the tunicate algorithm with a hybrid chaotic map provides better imperceptibility and robustness in comparison to the existing graph signal-based image steganography technique. The investigation is done on PSNR, MSE and SSIM performance parameters for evaluating the proposed technique.
{"title":"Graph signal processing and tunicate swarm optimization based image steganography using hybrid chaotic map based image scrambling","authors":"Shikha Chaudhary, Saroj Hiranwal, C. Gupta","doi":"10.1080/09720529.2022.2139934","DOIUrl":"https://doi.org/10.1080/09720529.2022.2139934","url":null,"abstract":"Abstract This paper put forwards a secure image steganography technique for transmitting sensitive data using a Tunicate swarm optimization algorithm. A hybrid chaotic map-based image scrambling method is proposed with the combination of Tent and Tinkerbell chaotic maps. The scrambling of the secret image provides an added level of security in data hiding. The graph signal processing of cover image using the Meyer wavelet filter is performed to conceal the secret data within the transformed cover image using the alpha blending operation. To discover the optimal value of alpha for alpha blending, the tunicate swarm optimization algorithm is employed. To take the hidden information out at receiver end, the reverse approach is applied. The experimental results revealed that the embedding technique using the tunicate algorithm with a hybrid chaotic map provides better imperceptibility and robustness in comparison to the existing graph signal-based image steganography technique. The investigation is done on PSNR, MSE and SSIM performance parameters for evaluating the proposed technique.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44456963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2133250
Mahbuba Rahman Purba, Moniya Akter, Rubayea Ferdows, Fuad Ahmed
Abstract Sentiment Analysis (SA) examines how people feel about products, services, people, organizations, events etc. Most of the Natural language processing on SA research has focused on English. In the case of Bangla, it lacks sufficient study as well as a proper dataset. All previous analyses employed KNN, NB, and other methods. We develop a natural language processing (NLP) model for separating opinion and sentiment from Bangla customer surveys. This technology isolates extreme client opinions to help with business and marketing decisions. Bangladesh is embracing e-commerce and f-commerce. Client comments and evaluations are becoming more significant in judging product or service quality, and this industry is evolving toward internet distribution. Organizations utilize client audits to check product quality. Our objective is to systematically collect client feedback and understand their product reaction. We used a hybrid CNN-LSTM based NLP model to classify Bangla texts in 3 viewpoint categories (positive, negative and neutral). We tested our model using a Bangla dataset that we generated. For our dataset, we collected polls and comments from websites and social media. Finally, among the three evaluation matrices, the f-1 score is providing the highest average, and the three-opinion technique is 87.22 percent accurate in determining the performance of our task.
{"title":"A hybrid convolutional long short-term memory (CNN-LSTM) based natural language processing (NLP) model for sentiment analysis of customer product reviews in Bangla","authors":"Mahbuba Rahman Purba, Moniya Akter, Rubayea Ferdows, Fuad Ahmed","doi":"10.1080/09720529.2022.2133250","DOIUrl":"https://doi.org/10.1080/09720529.2022.2133250","url":null,"abstract":"Abstract Sentiment Analysis (SA) examines how people feel about products, services, people, organizations, events etc. Most of the Natural language processing on SA research has focused on English. In the case of Bangla, it lacks sufficient study as well as a proper dataset. All previous analyses employed KNN, NB, and other methods. We develop a natural language processing (NLP) model for separating opinion and sentiment from Bangla customer surveys. This technology isolates extreme client opinions to help with business and marketing decisions. Bangladesh is embracing e-commerce and f-commerce. Client comments and evaluations are becoming more significant in judging product or service quality, and this industry is evolving toward internet distribution. Organizations utilize client audits to check product quality. Our objective is to systematically collect client feedback and understand their product reaction. We used a hybrid CNN-LSTM based NLP model to classify Bangla texts in 3 viewpoint categories (positive, negative and neutral). We tested our model using a Bangla dataset that we generated. For our dataset, we collected polls and comments from websites and social media. Finally, among the three evaluation matrices, the f-1 score is providing the highest average, and the three-opinion technique is 87.22 percent accurate in determining the performance of our task.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47018130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2133241
Kirty Shekhawat, Devershi Pallavi Bhatt
Abstract One Time Password (OTP) and Text Password are becoming less important in the current age of cybercrime because of the rapid development of new security systems. A user authentication system that is easy, robust, scalable, and cost-effective is a must. For both security and surveillance purposes, keystroke biometrics is a viable option. Behavior biometrics, of which keystroke biometrics is a subset, is used to identify individuals based on the way they type. Typing habits are not set in stone and are subject to change depending on the scenario, the device being used, and the user’s emotional state. As a result, the performance of a keystroke biometrics-based user authentication system is influenced by how well the retrieved information from typing and classification algorithms is processed. Using a keyboard with an array of pressure sensors, this research presents a unique way to keystroke dynamics-based authentication. The goal of this study is to develop user profiles that are unique and different in order to improve the suggested system’s efficiency. A real-world dataset is used to test the suggested method. The outcome is achieved with a 97% success rate in experiments.
{"title":"A novel approach for user authentication using keystroke dynamics","authors":"Kirty Shekhawat, Devershi Pallavi Bhatt","doi":"10.1080/09720529.2022.2133241","DOIUrl":"https://doi.org/10.1080/09720529.2022.2133241","url":null,"abstract":"Abstract One Time Password (OTP) and Text Password are becoming less important in the current age of cybercrime because of the rapid development of new security systems. A user authentication system that is easy, robust, scalable, and cost-effective is a must. For both security and surveillance purposes, keystroke biometrics is a viable option. Behavior biometrics, of which keystroke biometrics is a subset, is used to identify individuals based on the way they type. Typing habits are not set in stone and are subject to change depending on the scenario, the device being used, and the user’s emotional state. As a result, the performance of a keystroke biometrics-based user authentication system is influenced by how well the retrieved information from typing and classification algorithms is processed. Using a keyboard with an array of pressure sensors, this research presents a unique way to keystroke dynamics-based authentication. The goal of this study is to develop user profiles that are unique and different in order to improve the suggested system’s efficiency. A real-world dataset is used to test the suggested method. The outcome is achieved with a 97% success rate in experiments.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46676202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2133240
Mousumi Ahmed Mimi
Abstract Many researchers work on VANET which is a hot topic for today’s research work. VANET transfers data, messages sent and makes life safe but lots of consequences also occur. Among them, there are lots of attacks that can happen in VANET. Replay attacks, DoS attacks, and DDoS attacks are among them. Many researchers work to detect replay and DDoS attacks but they do not provide any solution for preventing the attacks. Some researchers provide some researches with algorithms to prevent replay attacks. All of them apply V2I communication without clustering to prevent replay attacks but they cannot prevent it with 100% accuracy. They do not apply any clustering formula to prevent replay attacks. To prevent replay attacks I will apply V2V communication with clustering formula. By using SUMO, NS3 I will prove that applying the clustering formula prevents attacks more than without applying it to the cluster.
{"title":"Using clustering scheme: Prevent reply attack in vehicular ad-hoc networks (VANET)","authors":"Mousumi Ahmed Mimi","doi":"10.1080/09720529.2022.2133240","DOIUrl":"https://doi.org/10.1080/09720529.2022.2133240","url":null,"abstract":"Abstract Many researchers work on VANET which is a hot topic for today’s research work. VANET transfers data, messages sent and makes life safe but lots of consequences also occur. Among them, there are lots of attacks that can happen in VANET. Replay attacks, DoS attacks, and DDoS attacks are among them. Many researchers work to detect replay and DDoS attacks but they do not provide any solution for preventing the attacks. Some researchers provide some researches with algorithms to prevent replay attacks. All of them apply V2I communication without clustering to prevent replay attacks but they cannot prevent it with 100% accuracy. They do not apply any clustering formula to prevent replay attacks. To prevent replay attacks I will apply V2V communication with clustering formula. By using SUMO, NS3 I will prove that applying the clustering formula prevents attacks more than without applying it to the cluster.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44429499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2133256
Shivkant Kaushik, R. C. Poonia, S. Khatri
Abstract Location privacy & data security in VANET are now becoming most important in today’s paradigm of information age. Unauthorized access to location information of vehicles may pose a significant security threat, thus it is necessary to secure this information from intruders. In proposed work, Artificial intelligence based RF range approximation is used with multi key controlled cryptography for enhancement of location privacy and data security in service location protocol of VANET’S.
{"title":"Cryptographic key distribution using artificial intelligence for data security and location privacy in VANET","authors":"Shivkant Kaushik, R. C. Poonia, S. Khatri","doi":"10.1080/09720529.2022.2133256","DOIUrl":"https://doi.org/10.1080/09720529.2022.2133256","url":null,"abstract":"Abstract Location privacy & data security in VANET are now becoming most important in today’s paradigm of information age. Unauthorized access to location information of vehicles may pose a significant security threat, thus it is necessary to secure this information from intruders. In proposed work, Artificial intelligence based RF range approximation is used with multi key controlled cryptography for enhancement of location privacy and data security in service location protocol of VANET’S.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46929173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2133237
Gudela Ashok, S. Ashok Kumar, D. Chaya Kumari, Mathe Ramakrishna
Abstract In this paper, a kind of Public key Cryptosystem is established using Polynomials and Pell sequences by exploiting the properties of both Polynomials and Pell sequences by converting Polynomial into Octal and Binary system. Securing the digital data and modifying it by using modern Cryptographic methods that plays a vital role in Network Security.
{"title":"A type of public cryptosystem using polynomials and pell sequences","authors":"Gudela Ashok, S. Ashok Kumar, D. Chaya Kumari, Mathe Ramakrishna","doi":"10.1080/09720529.2022.2133237","DOIUrl":"https://doi.org/10.1080/09720529.2022.2133237","url":null,"abstract":"Abstract In this paper, a kind of Public key Cryptosystem is established using Polynomials and Pell sequences by exploiting the properties of both Polynomials and Pell sequences by converting Polynomial into Octal and Binary system. Securing the digital data and modifying it by using modern Cryptographic methods that plays a vital role in Network Security.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41567416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/09720529.2022.2133244
Md. Sharifuzzaman, Jahidul Islam, Suman Chowdhury
Abstract This paper represents Internet of Things (IoT) based security system for smart home. As technology has progressed and the use of IoT has grown, digital door locks have become increasingly common. Door Security System application uses ESP8266 and IoT technology to monitor the status of the door. Blynk is a communication protocol that allows a smartphone to communicate with a door lock system. The Door Security System is available on Android and iOS. With this automation system, users may utilize an IR (Infrared remote) remote to manage their home security system from afar. We attempted to connect door security system in our home. Obviously, we will be able to solve that problem in the future. WiFi modules connect to our home internet router and link to our IoT server. Our Android and Web applications communicate with the server as well. This program allows users to check the current state of their home appliances and control them from anywhere. Also MQ3 indicates higher overall performance than the MQ2 in phrases of distance and reaction time.
{"title":"Designing and developing IoT based security system for smart home","authors":"Md. Sharifuzzaman, Jahidul Islam, Suman Chowdhury","doi":"10.1080/09720529.2022.2133244","DOIUrl":"https://doi.org/10.1080/09720529.2022.2133244","url":null,"abstract":"Abstract This paper represents Internet of Things (IoT) based security system for smart home. As technology has progressed and the use of IoT has grown, digital door locks have become increasingly common. Door Security System application uses ESP8266 and IoT technology to monitor the status of the door. Blynk is a communication protocol that allows a smartphone to communicate with a door lock system. The Door Security System is available on Android and iOS. With this automation system, users may utilize an IR (Infrared remote) remote to manage their home security system from afar. We attempted to connect door security system in our home. Obviously, we will be able to solve that problem in the future. WiFi modules connect to our home internet router and link to our IoT server. Our Android and Web applications communicate with the server as well. This program allows users to check the current state of their home appliances and control them from anywhere. Also MQ3 indicates higher overall performance than the MQ2 in phrases of distance and reaction time.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43128221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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